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Data Engineer

Amadora

Job description

The service to be provided will be part of Data integration team focuses on integrating applications within different business areas of our client, specifically Logistics, Communications, and Sales. The Data Streaming solutions are based using an event driven architecture and leveraging tools available on technological landscape like Apache Kafka/Confluent, Snaplogic and Flink.

The Data engineer develop and implement Messaging/Event streaming data pipelines to process, transform and analyze data in real-time using technologies such as Apache Kafka / Confluent, Flink, Snaplogic and Kong Connect. It should ensure data quality and consistency by identifying and resolving data integration issues and continuously monitoring and improving integration processes with the objective to increase efficiency and effectiveness. Additionally, it’s required to create and maintain documentation for the solutions implemented.

Requirements

Databases (relation and non-relational), Data Structures (json, xml) and using SQL
Cloud APIs to automate provisioning, deployment, improving system performance and infrastructure scaling (eg: terraform, kubernetes)
Programming skills and implementation experience (e.g.: Python)
Continuous Integration and Continuous Delivery (CI/CD) based application development, including source control systems (gitlab)
Design and implementation of integration solutions including, Batch and Real-Time Data, Messaging/Event processing, Cloud, Process Integrations
APIs/Connectors like Kong, Confluent Connectors
AWS services (e.g.: S3, Elastic Computing)
Junior Level - NoSQL technologies (Mongo, CouchDB, Cassandra, Neo4j)

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